Loading...
Loading...
Found 315 Skills
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
Database operations: migrations, queries, transactions, and performance. Use when: - Writing database migrations - Optimizing queries or adding indexes - Managing transactions and connections - Setting up connection pooling - Designing audit logging Keywords: database, migration, SQL, query optimization, index, transaction, connection pool, N+1, ORM, audit log
Observability patterns for metrics, logging, distributed tracing, and error tracking. Trigger: When setting up monitoring, when implementing logging, when adding error tracking, when configuring distributed tracing, when building health checks, when creating dashboards.
Technical safeguards and architectural patterns for building HIPAA-compliant software on AWS. Use when building healthcare SaaS, handling PHI (Protected Health Information), designing patient data systems, implementing healthcare APIs, setting up HIPAA-eligible AWS infrastructure, reviewing code for PHI exposure, designing audit logging, or when the user mentions patients, medical records, EHR/EMR, health data, HL7, FHIR, or covered entities. Essential for founders and developers building in healthcare or digital health space.
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
This skill should be used when the user asks to "harden code", "security hardening", "improve security posture", "add security headers", "tighten security", "defensive coding suggestions", or "proactive security improvements". Also triggers when the user asks about CSP, CORS hardening, rate limiting, input validation improvements, security logging, or defense-in-depth measures.
Specialized skill for implementing proper error handling, logging, user-friendly error messages, and error recovery strategies. Use when implementing error handling in APIs, components, or when debugging error issues.
GDPR compliance implementation. Data subject rights (access, deletion, portability), consent management, data processing records, PII handling, and privacy by design patterns. USE WHEN: user mentions "GDPR", "data privacy", "right to be forgotten", "data deletion", "consent management", "PII", "data subject request", "privacy policy", "cookie consent" DO NOT USE FOR: authentication - use auth skills; encryption - use `cryptography`; audit logging - use `audit-logging`
Generate a complete MCP server project in C# with tools, prompts, and proper configuration
Implement secure error handling to prevent information leakage and provide appropriate error responses. Use this skill when you need to handle errors in API routes, prevent stack trace exposure, implement environment-aware error messages, or use the error handler utilities. Triggers include "error handling", "handle errors", "error messages", "information leakage", "stack trace", "handleApiError", "production errors", "error responses".
Setup Sentry in Ruby apps. Use when asked to add Sentry to Ruby, install sentry-ruby gem, or configure error monitoring for Ruby applications or Rails.
C# error handling, validation, and Result pattern best practices. Use when handling exceptions, implementing validation, designing error responses, or choosing between exceptions and Result types.